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In: Computer Science

Suppose you want to use Naive Bayes to perform document classification (binary clas- sification) using the...

Suppose you want to use Naive Bayes to perform document classification (binary clas-
sification) using the bag of words model where we have D documents and a total of n
words. How many probabilities would a Naive Bayes classifier need to learn? Suppose,
your boss says, change the order of sentences in each document and re-learn the Naive
Bayes classifier, do you expect the learned model to be different? Briefly explain

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